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Adelaide Research & Scholarship
Adelaide Research & Scholarship
Browsing "Australian Institute for Machine Learning publications" by Title
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Showing results 104 to 123 of 123
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Issue Date
Title
Author(s)
2021
The holonomy groupoids of singularly foliated bundles
MacDonald, L.E.
2021
The IKEA ASM Dataset: Understanding people assembling furniture through actions, objects and pose
Ben-Shabat, Y.
;
Yu, X.
;
Saleh, F.
;
Campbell, D.
;
Rodriguez Opazo, C.
;
Li, H.
;
Gould, S.
;
IEEE Winter Conference on Applications of Computer Vision (WACV) (3 Jan 2021 - 9 Jan 2021 : virtual online)
2017
The VQA-machine: learning how to use existing vision algorithms to answer new questions
Wang, P.
;
Wu, Q.
;
Shen, C.
;
van den Hengel, A.
;
30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) (21 Jul 2017 - 26 Jul 2017 : Honolulu)
2018
Tips and tricks for visual question answering: learnings from the 2017 challenge
Teney, D.
;
Anderson, P.
;
He, X.
;
Van Den Hengel, A.
;
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (18 Jun 2018 - 23 Jun 2018 : Salt Lake City, USA)
2018
Training medical image analysis systems like radiologists
Maicas Suso, G.
;
Bradley, A.
;
Nascimento, J.
;
Reid, I.
;
Carneiro, G.
;
Frangi, A.
;
Schnabel, J.
;
Davatzikos, C.
;
Alberola-Lopez, C.
;
Fichtinger, G.
;
21st International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2018) (16 Sep 2018 - 20 Sep 2018 : Granada)
2022
UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier
Xie, Y.
;
Zhang, J.
;
Xia, Y.
;
Wu, Q.
;
Avidan, S.
;
Brostow, G.
;
Cisse, M.
;
Farinella, G.M.
;
Hassner, T.
;
European Conference on Computer Vision (ECCV) (23 Oct 2022 - 27 Oct 2022 : Tel Aviv)
2021
Unshuffling Data for Improved Generalization in Visual Question Answering
Teney, D.
;
Abbasnejad, E.
;
van den Hengel, A.
;
IEEE/CVF International Conference on Computer Vision (ICCV) (11 Oct 2021 - 17 Oct 2021 : Virtual Online)
2019
Unsupervised domain adaptation using robust class-wise matching
Zhang, L.
;
Wang, P.
;
Wei, W.
;
Lu, H.
;
Shen, C.
;
van den Hengel, A.
;
Zhang, Y.
2020
V-PROM: A benchmark for visual reasoning using visual progressive matrices
Teney, D.
;
Wang, P.
;
Cao, J.
;
Liu, L.
;
Shen, C.
;
Van Den Hengel, A.
;
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI) (7 Feb 2020 - 12 Feb 2020 : New York, USA)
2022
V2C: Visual Voice Cloning
Chen, Q.
;
Tan, M.
;
Qi, Y.
;
Zhou, J.
;
Li, Y.
;
Wu, Q.
;
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (18 Jun 2022 - 24 Jun 2022 : New Orleans, Louisiana)
2007
Video Trace: rapid interactive scene modelling from video
Van Den Hengel, A.
;
Dick, A.
;
Thormaehlen, T.
;
Ward, B.
;
Torr, P.
2023
Visual Place Recognition: A Tutorial
Schubert, S.
;
Neubert, P.
;
Garg, S.
;
Milford, M.
;
Fischer, T.
2018
Visual Question Answering as a meta learning task
Teney, D.
;
Van Den Hengel, A.
;
Ferrari, V.
;
Hebert, M.
;
Sminchisescu, C.
;
Weiss, Y.
;
15th European Conference on Computer Vision (ECCV 2018) (8 Sep 2018 - 14 Sep 2018 : Munich)
2019
Visual question answering as reading comprehension
Li, H.
;
Wang, P.
;
Shen, C.
;
Van Den Hengel, A.
;
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (15 Jun 2019 - 20 Jun 2019 : Long Beach, USA)
2017
Visual Question Answering: a tutorial
Teney, D.
;
Wu, Q.
;
Van Den Hengel, A.
2021
VPR-Bench: An Open-Source Visual Place Recognition Evaluation Framework with Quantifiable Viewpoint and Appearance Change
Zaffar, M.
;
Garg, S.
;
Milford, M.
;
Kooij, J.
;
Flynn, D.
;
McDonald-Maier, K.
;
Ehsan, S.
2022
What Can Robotics Research Learn from Computer Vision Research?
Corke, P.
;
Dayoub, F.
;
Hall, D.
;
Skinner, J.
;
Sünderhauf, N.
;
Asfour, T.
;
Yoshida, E.
;
Park, J.
;
Christensen, H.
;
Khatib, O.
;
International Symposium of Robotic Research (ISRR) (6 Oct 2019 - 10 Oct 2019 : Hanoi, Vietnam)
2017
When Unsupervised Domain Adaptation Meets Tensor Representations
Lu, H.
;
Zhang, L.
;
Cao, Z.
;
Wei, W.
;
Xian, K.
;
Shen, C.
;
Hengel, A.
;
16th IEEE International Conference on Computer Vision (ICCV 2017) (22 Oct 2017 - 29 Oct 2017 : Venice, Italy)
2021
Wind turbine power output prediction using a new hybrid neuro-evolutionary method
Neshat, M.
;
Nezhad, M.M.
;
Abbasnejad, E.
;
Mirjalili, S.
;
Groppi, D.
;
Heydari, A.
;
Tjernberg, L.B.
;
Astiaso Garcia, D.
;
Alexander, B.
;
Shi, Q.
;
Wagner, M.
2020
Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison
Li, D.
;
Rodriguez Opazo, C.
;
Yu, X.
;
Li, H.
;
IEEE Winter Conference on Applications of Computer Vision (WACV) (1 Mar 2020 - 5 Mar 2020 : Snowmass Village, CO, USA)